The Rice algorithm is a standard for numerically lossless image compression, especially for space applications, as described by the Consultative Committee for Space Data Systems. It is remarkably simple and adaptable and delivers effective compression for a wide range of signals. The present work investigates an extension of the standard Rice algorithm to support lossy compression, referred to as Enhanced Rice, or ERICE. The extended system allows compression to scale gracefully from numerically lossless to visually lossy and is only slightly more complex than the numerically lossless system.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Low-complexity image compression with scalable quality control


    Contributors:

    Conference:

    Sensors and Systems for Space Applications VII ; 2014 ; Baltimore,Maryland,USA


    Published in:

    Proc. SPIE ; 9085 ; 908510


    Publication date :

    2014-06-03





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Low-complexity image compression with scalable quality control [9085-36]

    Pillman, B.H. / Napoli, M.E. / SPIE (Society) | British Library Conference Proceedings | 2014



    Perceptual Mappings for Visual Quality Enhancement in Scalable Video Compression

    Leung, R. / Taubman, D. | British Library Conference Proceedings | 2005


    High quality document image compression with "DjVu"

    Bottou, L. / Haffner, P. / Howard, P. G. et al. | British Library Online Contents | 1998


    Highly Scalable, Low-Delay Video Compression

    Taubman, D. / Zakhor, A. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994